The article describes a modified mechanism of state changes in the simulation models based on Petri nets. The basic idea is to provide additional feedback on the selected state variables network model. Activated transitions are selected based on the analysis values ​​of these variables. It is proposed to solve the problem management of change states Petri nets by using a neural network. An example of generating the classifier based on the states of the model of the neural network.